Chat bots: Difference between revisions
Mr. MacKenty (talk | contribs) (Created page with "right|frame|Case study notes<ref>http://www.flaticon.com/</ref> * Backpropagation through time (BPTT) * Bag-of-words * Biases * Confirmation * Historical * Labelling * Linguistic * Sampling * Selection * Dataset * Deep learning * Graphical processing unit (GPU) * Hyperparameter tuning * Large language model (LLM) * Latency * Long short-term memory (LSTM) * Loss function * Memory...") |
Mr. MacKenty (talk | contribs) No edit summary |
||
| Line 4: | Line 4: | ||
* [[Bag-of-words]] | * [[Bag-of-words]] | ||
* [[Biases]] | * [[Biases]] | ||
* [[Confirmation]] | ** [[Confirmation]] | ||
* [[Historical]] | ** [[Historical]] | ||
* [[Labelling]] | ** [[Labelling]] | ||
* [[Linguistic]] | ** [[Linguistic]] | ||
* [[Sampling]] | ** [[Sampling]] | ||
* [[Selection]] | ** [[Selection]] | ||
* [[Dataset]] | * [[Dataset]] | ||
* [[Deep learning]] | * [[Deep learning]] | ||
Revision as of 07:49, 3 July 2024
Case study notes[1]
- Backpropagation through time (BPTT)
- Bag-of-words
- Biases
- Dataset
- Deep learning
- Graphical processing unit (GPU)
- Hyperparameter tuning
- Large language model (LLM)
- Latency
- Long short-term memory (LSTM)
- Loss function
- Memory cell state
- Natural language processing
- Discourse integration
- Lexical analysis
- Pragmatic analysis
- Semantic analysis
- Syntactical analysis (parsing)
- Natural language understanding (NLU)
- Pre-processing
- Recurrent neural network (RNN)
- Self-attention mechanism
- Synthetic data
- Tensor processing unit (TPU)
- Transformer neural network (transformer NN)
- Vanishing gradient
- Weights